Book Image

Hadoop Blueprints

By : Anurag Shrivastava, Tanmay Deshpande
Book Image

Hadoop Blueprints

By: Anurag Shrivastava, Tanmay Deshpande

Overview of this book

If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space.
Table of Contents (14 chapters)
Hadoop Blueprints
About the Authors
About the Reviewers

Creating the solution outline

Let's start by diving straight into the solution right now. Our goal is to do the following things step by step:

  1. Loading data into HDFS using batch mode: Flume.

  2. Loading data into HDFS using streaming mode: Kafka.

  3. Data analysis using Hive.

  4. Data visualization using Grafana and Open TSDB.

The following is an architecture diagram for the solution:

This architecture takes care of both real-time and batch analytics. We will be collecting data into Kafka topics. Then we will be using Flume agents to write this data to HDFS as well as to Open TSDB. Open TSDB is an open source time series database that uses HBase as its storage engine. We will also be using Grafana for the time series data visualization.

Now let's move on to the next step.